Summary
InnovationTeam is seeking an AI Engineer in Riyadh to develop, deploy, and operate AI and LLM models across GCP and Humain sovereign cloud environments. The role covers Arabic NLP, document classification, vision and OCR, model evaluation, inference optimization, GPU workloads, serving infrastructure, versioning, CI/CD, and monitoring. Applicants should have 5 years of ML/AI engineering experience, including production LLM deployment, and knowledge of Python, PyTorch, Hugging Face, Kubernetes, and GCP Vertex AI or an equivalent cloud. The posting also cites compliance with ZATCA data sovereignty and SDAIA requirements, including AI ethics, GenAI guidelines, and PDPL.
The posting
As published on innovationteam.com. Pulled from the employer's site and shown as they wrote it.
Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment — GCP for public-cloud workloads, Humain sovereign cloud for classified data.
Requirements
Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases.
Run pre-deployment evaluation
Accuracy baselines, regression and safety testing; evidence to justify GPU allocation.
Optimize inference — quantization, batching, context sizing — against measured usage.
Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC.
Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing.
Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift.
Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL).
Benefits
5 years ML/AI engineering, in production LLM deployment with knowledge in
Python, PyTorch, Hugging Face
Kubernetes in production; GPU-served inference
GCP Vertex AI or any equivellent cloud